I’m tring to solve a system of "blackbox" residual function (F(x)=0) and was wondering if it is better to solve the system or to minimize the sum of the equations as a single scalar function.
It seems the same if the system is solved as a least square problem using lsqnonlin, especially when looking to the available algorithms, like the Trust-Region.
Is the Trust-Region algorithm the same for minimizing a scalar function and solving a nonlinear system of equations?I’m tring to solve a system of "blackbox" residual function (F(x)=0) and was wondering if it is better to solve the system or to minimize the sum of the equations as a single scalar function.
It seems the same if the system is solved as a least square problem using lsqnonlin, especially when looking to the available algorithms, like the Trust-Region.
Is the Trust-Region algorithm the same for minimizing a scalar function and solving a nonlinear system of equations? I’m tring to solve a system of "blackbox" residual function (F(x)=0) and was wondering if it is better to solve the system or to minimize the sum of the equations as a single scalar function.
It seems the same if the system is solved as a least square problem using lsqnonlin, especially when looking to the available algorithms, like the Trust-Region.
Is the Trust-Region algorithm the same for minimizing a scalar function and solving a nonlinear system of equations? lsqnonlin, optimization, fmincon MATLAB Answers — New Questions

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